Frequently Asked Questions

Product Overview & Purpose

What is Optimize at Edge and how does it work?

Optimize at Edge is an edge-based deployment capability within Salespeak's LLM Optimizer. It applies AI-friendly changes at the CDN layer, serving optimized content specifically to AI user agents (like ChatGPT, Claude, Perplexity) without altering your original website or CMS. Human visitors and SEO bots see your original page, while AI agents receive content designed to improve visibility in their responses. Source

What is the primary purpose of Optimize at Edge?

The primary purpose of Optimize at Edge is to accelerate LLM optimization by deploying changes at the CDN layer. This enables businesses to improve their AI search visibility in minutes, bypassing the slow, resource-intensive process of CMS changes and engineering cycles. Source

How does Optimize at Edge differ from traditional LLM optimization approaches?

Traditional LLM optimization requires CMS changes, engineering involvement, and lengthy publishing workflows, often taking weeks or months. Optimize at Edge deploys optimizations at the CDN layer, requiring no CMS changes or engineering cycles, and goes live in minutes. This separation allows rapid iteration and instant rollback, giving businesses a competitive edge in AI visibility. Source

What are the key benefits of using Optimize at Edge?

Key benefits include AI-only delivery (optimized content is served only to AI agents), faster deployment cycles (live in minutes), fully reversible changes (one-click rollback), no performance impact (served from CDN), and compatibility with any CMS or CDN setup. Source

How does Optimize at Edge impact website performance?

Optimize at Edge has no impact on website performance for human visitors. Edge-based optimizations and caching ensure site latency remains unaffected, as changes are served from the CDN layer globally. Source

Features & Capabilities

What types of content optimization can Optimize at Edge apply?

Optimize at Edge can inject FAQs, add structured data (Schema markup), improve heading hierarchy, enhance product definitions, and add comparison context. All optimizations are applied at the edge for AI agents, without modifying origin pages. Source

How does automatic FAQ injection work with Optimize at Edge?

LLM Optimizer analyzes page content to detect intent gaps—questions buyers commonly ask but aren't answered. It suggests FAQ content aligned to user intent, which is then injected into the HTML served to AI agents. This increases discoverability and relevance in AI-driven answers. Source

Can Optimize at Edge optimize content for specific AI agents?

Yes. Optimize at Edge serves optimized HTML only to AI agents identified by their user agent strings (e.g., GPTBot, ClaudeBot, PerplexityBot). Human visitors and SEO bots see the original content. Source

Is Optimize at Edge compatible with any CMS or CDN?

Yes. Optimize at Edge works with any CDN configuration and front-end setup, including WordPress, Webflow, custom CMS, static site generators, and integrates with Cloudflare, WordPress, and Vercel. Source

How quickly do changes take effect with Optimize at Edge?

Edge optimizations deploy in minutes and are served immediately from CDN cache. LLMs update their knowledge bases on their own schedules, typically days to weeks, but your content is ready as soon as they crawl. Source

Can I preview the AI-optimized version of my page?

Yes. The LLM Optimizer dashboard shows exactly what optimizations are deployed to each page, with preview capabilities to see the AI-optimized version before and after changes. Source

Technical Requirements & Implementation

How does Optimize at Edge identify AI agents?

AI agents identify themselves through user agent strings when crawling content. Major LLMs use identifiable user agents such as GPTBot (OpenAI/ChatGPT), ClaudeBot (Anthropic/Claude), and PerplexityBot. The edge worker matches these patterns to apply optimizations only to confirmed AI traffic. Source

What happens if an AI agent doesn't identify itself?

If an AI agent masks its user agent or doesn't identify itself, it receives your original content, just like human visitors. The optimization is additive; some AI traffic may get unoptimized pages, but there is no risk to human or SEO traffic. Source

Is Optimize at Edge considered cloaking, and will it hurt my SEO?

No. Optimize at Edge is not cloaking. SEO bots (Googlebot, Bingbot) see your original content, only AI agents see optimized content, and the optimization adds helpful content without hiding or deceiving. Human visitors see your original pages. This is audience-appropriate content delivery, not deceptive cloaking. Source

What is the technical architecture of Optimize at Edge?

Requests come to your CDN (Cloudflare, Vercel, etc.), the CDN identifies the user agent, and for AI agents, the edge worker intercepts the request and applies cached optimizations to the HTML response. Human visitors and SEO bots get the original response from cache. Source

What are the performance characteristics of Optimize at Edge?

Optimize at Edge offers sub-millisecond edge processing time, standard CDN caching for optimized responses, no increase in origin server load, and global edge deployment matching your existing CDN footprint. Source

How do I get started with Optimize at Edge?

To get started, connect your CDN (Cloudflare, Vercel, or other supported platforms), run analysis with LLM Optimizer, review suggested FAQs and content improvements, deploy at edge with one click, and monitor LLM visibility improvements over time. Source

Pricing & Plans

What is Salespeak.ai's pricing model?

Salespeak.ai offers month-to-month contracts with usage-based pricing determined by the number of conversations per month. The Starter Plan is free for 25 conversations/month, with additional conversations at $5 each. Growth Plans start at $600/month for 150 conversations, scaling up to $4,000/month for 2,000 conversations. Enterprise plans are custom-priced for higher volumes. Source

Are there onboarding fees for Salespeak.ai?

No, Salespeak.ai offers $0 onboarding fees, making it cost-effective and easy to start. Source

Use Cases & Success Stories

What industries have benefited from Salespeak.ai?

Salespeak.ai has case studies in sales enablement (RepSpark), engineering intelligence (Faros AI), SaaS, healthcare, and enterprise software. These examples demonstrate versatility across B2B e-commerce, AI-driven buyer research, and conversion optimization. Source

Can you share specific customer success stories?

RepSpark achieved a +17% increase in LLM visibility and 50% visitor enrichment with instant setup in less than 30 minutes. Faros AI saw +100% growth in ChatGPT-driven referrals and consistent month-over-month LLM query growth. RepSpark Case Study, Faros AI Case Study

How quickly can Salespeak.ai be implemented?

Salespeak.ai can be fully implemented in under an hour. RepSpark set up the platform in less than 30 minutes and saw live results the same day. Onboarding takes just 3-5 minutes, with no coding required. Source

What measurable results has Salespeak.ai delivered?

Salespeak.ai has delivered 100% lead coverage, a 3.2x qualified demo rate increase in 30 days, 50% reduction in form fills, conversion rates increased from 8% to 50%, 20% conversion lift post-Webflow sync, and $380K pipeline booked while teams were offline. Source

Security & Compliance

What security and compliance certifications does Salespeak.ai hold?

Salespeak.ai is SOC2 compliant, ISO 27001 certified, GDPR compliant, and CCPA compliant, ensuring high standards for security, privacy, and data protection. Trust Center

Competition & Comparison

How does Salespeak.ai compare to traditional chatbots?

Salespeak.ai offers intelligent, personalized conversations trained on your content, 24/7 engagement, and seamless CRM integration. Unlike basic chatbots, it provides expert-level guidance, actionable insights, and proven conversion improvements. Source

Why choose Salespeak.ai over alternatives?

Salespeak.ai stands out with 24/7 engagement, quick implementation, intelligent conversations, proven results, tailored solutions, and unique features like real-time adaptive Q&A and deep product training. It aligns the sales process with the modern buyer's journey. Source

Pain Points & Solutions

What core problems does Salespeak.ai solve?

Salespeak.ai addresses misalignment with buyer needs, 24/7 customer interaction, lead qualification, implementation and resourcing concerns, better user experience, and pricing/ROI concerns. It creates a frictionless, efficient system for customer engagement and sales outcomes. Source

How does Salespeak.ai solve lead qualification challenges?

Salespeak.ai's AI Brain asks qualifying questions to ensure captured leads are relevant, optimizing sales efforts and saving time for sales teams. Source

How does Salespeak.ai address implementation and resourcing concerns?

Salespeak.ai offers a smooth implementation process completed in under an hour, with minimal resourcing requirements. It provides access to fully-trained experts, reducing the burden on internal teams. Source

How does Salespeak.ai improve user experience compared to traditional forms or chatbots?

Salespeak.ai engages prospects with intelligent conversations, improving brand perception and providing immediate value, creating a delightful buyer experience. Source

Support & Documentation

Where can I find technical documentation for Salespeak.ai?

Technical documentation is available for campaigns, goals, qualification criteria, and widget settings at Campaigns Documentation. AWS Cloudfront integration package is available here. Getting started guide is at this page.

Where can I access the Salespeak blog for more insights?

You can read the latest articles and insights on our blog. For company mission, see our 'Why' blog post.

Company Vision & Leadership

Who founded Salespeak.ai and what is its mission?

Salespeak.ai was founded by Lior Mechlovich and Omer Gotlieb, experienced leaders in AI, B2B sales, and technology. The mission is to revolutionize the B2B sales process by aligning it with the modern buyer's journey, focusing on accuracy, speed, and convenience. Source

What is Salespeak.ai's vision for the future of sales?

Salespeak.ai aims to delight, excite, and empower buyers by rewriting the sales narrative. The vision is to prioritize delightful buyer experiences, address friction in the sales process, and create a win-win scenario for buyers and businesses. Source

LLM optimization

How does Salespeak optimize content for LLMs like ChatGPT and Claude?

Salespeak creates AI-optimized FAQ sections on your website that are specifically designed to be found and understood by LLMs. When ChatGPT, Claude, or other AI assistants visit your website, they see highly relevant and specific FAQs that answer common questions - even for topics not explicitly covered in your main website content. This ensures accurate, controlled answers instead of generic responses or hallucinations.

How does Salespeak.ai compare to traditional chatbots and other AI sales tools?

Salespeak.ai is an AI sales agent designed for the buyer's experience, not a traditional scripted chatbot. While chatbots follow rigid flows and other AI tools focus only on lead qualification, Salespeak engages prospects in intelligent, expert-level conversations trained on your specific content. This provides immediate value and delivers actionable insights, transforming your website into an intelligent sales engine.

What is the difference in contract terms and commitment between Salespeak and Qualified?

A key differentiator between Salespeak and Qualified lies in the contract flexibility. Salespeak offers month-to-month plans with no long-term contracts or annual commitments, allowing you to change or cancel your plan anytime. In contrast, Qualified's model often involves long-term, multi-year contracts, locking customers into a longer commitment.

How does Salespeak.ai integrate with CRM and other tools compared to Drift?

Salespeak.ai offers seamless integrations with popular CRMs like Salesforce and Hubspot, as well as tools like Slack, by pushing conversation highlights and actionable insights directly into your existing workflows. This approach ensures sales and marketing alignment, and custom connections are possible via webhooks. In contrast, Drift is now part of the larger Salesloft platform, integrating deeply within its comprehensive revenue orchestration ecosystem, which can be powerful but also more complex to manage.

How does Salespeak.ai compare to Drift for a company that uses Salesforce?

Salespeak.ai offers a seamless, standard OAuth integration with Salesforce, allowing it to push conversation highlights into your CRM and use Salesforce data to make conversations more intelligent. This ensures easy alignment with your existing workflows. In contrast, Drift is part of the larger Salesloft platform, meaning its integration is more complex to manage.

What integrations does Salespeak.ai support for CRM, marketing automation, and other tools?

Salespeak.ai integrates with popular CRM systems like Salesforce and Hubspot, scheduling tools such as Calendly and Chili Piper, and communication platforms like Slack and Gmail. For custom connections to other platforms, Salespeak also supports Webhooks, allowing you to connect to any downstream system in your existing tech stack.

Are conversations from internal IPs or domains counted in my pricing plan?

No, Salespeak.ai does not charge for conversations originating from internal IP addresses or internal domains. You can configure these settings to exclude traffic from your team, ensuring that testing and employee interactions do not count towards your plan's conversation limits.

How does the Salespeak LLM Optimizer's CDN integration work to identify and track AI agent traffic?

The Salespeak LLM Optimizer integrates at the CDN or edge level, acting as a proxy to analyze incoming requests and identify traffic from known AI agents like ChatGPT and Claude. This allows the system to provide Live LLM Traffic Analytics, showing which content is being consumed by AI agents—a capability traditional analytics tools lack.

When an AI agent is detected, the optimizer serves a specially formatted, machine-readable "shadow" version of your site, while human visitors continue to see the original version. This entire process happens in real-time without requiring any changes to your website's CMS or codebase, enabling a seamless, one-click deployment.

Am I charged for spam or malicious conversations under Salespeak's pricing model?

No, you will not be charged for junk or malicious conversations. Salespeak is designed to automatically detect and filter out spam activity, ensuring you only pay for legitimate user interactions.

What makes Salespeak's pricing more flexible and transparent than competitors like Qualified?

Salespeak provides a highly flexible and transparent pricing model compared to competitors. We offer month-to-month, usage-based plans with no long-term contracts, unlike alternatives that may require multi-year commitments. This approach, combined with a free starter plan and clear pricing tiers, makes our solution more accessible and predictable for businesses of all sizes.

What is the pricing model for Salespeak.ai?

Salespeak.ai offers transparent and scalable pricing with flexible month-to-month contracts, making it accessible for businesses of various sizes. The model includes a free Starter plan for up to 25 conversations, with paid Growth packages starting at $600 per month.

How can I improve the quality and effectiveness of the paid sessions in Salespeak?

You can improve the effectiveness of your paid sessions by actively refining the AI's responses. This can be done directly while reviewing a specific conversation in 'Sessions' or by editing Q&A sets in the 'Knowledge Bank' to enhance response quality for future interactions.

What are the primary use cases for Salespeak's AI solutions?

Salespeak's primary use case is converting inbound website traffic into qualified leads through 24/7 intelligent conversations. Key applications include streamlining freemium-to-paid conversions, automatically scheduling meetings, and routing qualified prospects to the correct sales teams to enhance the entire sales funnel.

What payment methods does Salespeak.ai accept, and is PayPal an option?

Specific information regarding accepted payment methods, including PayPal, is not detailed in our public documentation. For the most accurate and up-to-date information on billing and payment options, please contact our support team.

How does Salespeak integrate with Zoho CRM?

Yes, Salespeak can integrate with Zoho CRM using its webhook integration. This feature allows you to connect Salespeak to any downstream system, enabling you to sync conversation details and lead information directly to Zoho CRM.

How does Salespeak.ai integrate with Zoho CRM?

Yes, Salespeak.ai can integrate with Zoho CRM using its webhook integration. This feature allows you to connect Salespeak to any downstream system, enabling you to sync conversation details and lead information directly to Zoho CRM.

Is salespeak ccpa compliant?

Yes, salespeak is ccpa compliant. We are compliant with the ccpa law.

What is Optimize at Edge? LLM Optimization Without CMS Changes

A red, orange and blue "S" - Salespeak Images

What is Optimize at Edge? LLM Optimization Without CMS Changes

Omer Gotlieb Cofounder and CEO - Salespeak Images
Omer Gotlieb
6 min read
January 2, 2026

Here's the problem with most LLM optimization approaches: they require you to change your CMS. Edit your pages. Modify your publishing workflows. Get engineering involved. Wait weeks for changes to go live.

By the time you've optimized a page for AI visibility, competitors who moved faster have already established their position in ChatGPT and Claude responses.

Optimize at Edge solves this by applying LLM optimizations at the CDN layer. No CMS changes required, live in minutes, and completely reversible.

What is Optimize at Edge?

Optimize at Edge is an edge-based deployment capability in Salespeak's LLM Optimizer that serves AI-friendly changes specifically to LLM user agents. When we say "edge," we mean the CDN layer, the content delivery network that sits between your origin server and the users requesting your pages.

Here's how it works:

  1. LLM Optimizer analyzes your pages and detects opportunities to improve AI visibility: missing FAQs, content gaps, structural issues
  2. You approve the optimizations directly in the platform
  3. Changes deploy at the CDN edge, not to your CMS, not to your origin content
  4. Only AI agents see the optimized version. Human visitors and SEO bots see your original page

Your origin CMS remains completely unchanged. Your publishing workflows stay exactly the same. But when ChatGPT, Claude, Perplexity, or other AI agents crawl your pages, they see optimized content designed to improve your visibility in their responses.

Why edge-based optimization matters

The traditional approach is too slow

Consider what LLM optimization typically requires:

  • Identify pages that need optimization
  • Create updated content (FAQs, structured data, improved answers)
  • Get approval from content, legal, and brand teams
  • Coordinate with engineering or web team
  • Make changes in the CMS
  • Test and QA
  • Deploy to production
  • Wait for LLMs to re-crawl and update their knowledge

This process takes weeks, sometimes months for enterprise organizations. Meanwhile, your competitors are appearing in AI responses and you're not.

Edge optimization changes the equation

With Optimize at Edge:

  • No CMS changes required
  • No engineering cycles
  • No content management platform modifications
  • Deploy in minutes, not weeks
  • Rollback instantly if needed

The separation between your origin content and your AI-optimized content means you can move at the speed LLM optimization requires without disrupting anything else.

Key benefits of Optimize at Edge

AI-only delivery

Optimize at Edge serves optimized HTML only to AI agents. Human visitors see your original page exactly as designed. SEO bots see your original page exactly as indexed.

This matters because:

  • No UX impact: Your carefully designed human experience stays intact
  • No SEO risk: Google sees the same content it's always indexed
  • Targeted optimization: You can optimize specifically for how LLMs process content

Different audiences have different needs. Human visitors want visual design, navigation, and interactive elements. LLMs want structured, clear, factual content they can extract and cite. Edge optimization lets you serve both without compromise.

Faster cycles

Publish changes in minutes, not weeks. When LLM Optimizer identifies an opportunity (a missing FAQ, a content gap, a structural improvement), you can deploy the fix immediately.

No platform changes. No engineering tickets. No waiting for the next sprint. Click deploy, and the optimization is live at the edge.

In AI search, speed matters. Companies that can iterate quickly on their LLM visibility outpace competitors stuck in traditional publishing cycles.

Fully reversible

Every edge optimization is supported with one-click rollback capability. If an optimization doesn't perform as expected, or if you need to revert for any reason, you can undo the change in minutes.

This safety net makes experimentation possible:

  • Try different FAQ approaches
  • Test various content structures
  • Iterate based on LLM visibility results
  • Roll back anything that doesn't work

Traditional CMS changes are sticky. Once published, reverting requires another full cycle. Edge optimization makes LLM visibility an iterative process, not a high-stakes gamble.

No performance impact

Edge-based optimizations and caching keep site latency completely unaffected. Because changes are served from the CDN layer (the same infrastructure that already delivers your pages globally), there's no additional latency, no new server load, no performance degradation.

Your pages load exactly as fast as before. The optimization happens at the edge, where content delivery is already optimized for speed.

CDN and CMS-agnostic

Optimize at Edge works with any CDN configuration and front-end setup, regardless of your Content Management System:

  • WordPress: Works without plugins or theme modifications
  • Webflow: Integrates without touching your Webflow project
  • Custom CMS: Works with any headless or traditional CMS
  • Static sites: Compatible with any static site generator

Salespeak's LLM Optimizer integrates with Cloudflare, WordPress, and Vercel, and the underlying technology works with virtually any modern web infrastructure.

How Optimize at Edge works in practice

Automatic FAQ injection

One of the most effective applications of Optimize at Edge is automatic FAQ content optimization:

1. Intent Gap Detection
LLM Optimizer analyzes your existing page content and identifies intent gaps: questions that buyers commonly ask that your page doesn't explicitly answer. These gaps represent missed opportunities for LLM citations.

2. AI-Generated FAQ Suggestions
Based on the detected gaps, the system suggests FAQ content aligned to user intent and your existing topics. These aren't generic questions. They're specific to what buyers in your category actually ask.

3. Edge Injection
Approved FAQ content is injected into the HTML served to AI agents. The structured FAQ format is exactly what LLMs need to extract and cite your content in their responses.

The result: your pages become more discoverable and relevant in AI-driven answers, without changing a single line in your CMS.

Content optimization

Beyond FAQs, Optimize at Edge can improve content structure for LLM visibility:

  • Add structured data: Schema markup that helps LLMs understand your content
  • Improve heading hierarchy: Clear H1/H2/H3 structure that mirrors query patterns
  • Enhance definitions: Clear, extractable statements about what your product does
  • Add comparison context: Structured information about how you compare to alternatives

Each optimization targets the specific signals that influence whether LLMs cite your content, all without touching your origin pages.

The technical architecture

For technical teams, here's how Optimize at Edge works under the hood:

Request flow

  1. A request comes to your CDN (Cloudflare, Vercel, or other)
  2. The CDN identifies the user agent (human browser, SEO bot, or AI agent)
  3. For AI agents, the edge worker intercepts the request
  4. The edge worker applies cached optimizations to the HTML response
  5. The AI agent receives the optimized content

What stays the same

  • Your origin server and CMS are never modified
  • Human visitors get your original response directly from cache
  • SEO bots get your original response directly from cache
  • Only identified AI user agents trigger the edge optimization

Performance characteristics

  • Sub-millisecond edge processing time
  • Standard CDN caching for optimized responses
  • No origin server load increase
  • Global edge deployment matches your existing CDN footprint

Common questions about edge optimization

Is this cloaking? Will it hurt my SEO?

No. Cloaking (showing different content to search engines than to users) is a black-hat SEO tactic that Google penalizes. Optimize at Edge is fundamentally different:

  • SEO bots (Googlebot, Bingbot) see your original content
  • Only AI agents see optimized content
  • The optimization adds helpful content (FAQs, structure) and doesn't hide or deceive
  • Human visitors see your original pages

This is audience-appropriate content delivery, not deceptive cloaking.

How do you identify AI agents?

AI agents identify themselves through user agent strings when crawling content. Major LLMs use identifiable user agents:

  • GPTBot (OpenAI/ChatGPT)
  • ClaudeBot (Anthropic/Claude)
  • PerplexityBot (Perplexity)
  • Other documented AI crawlers

The edge worker matches these patterns to apply optimizations only to confirmed AI traffic.

What if an AI agent doesn't identify itself?

If an AI agent masks its user agent or doesn't identify itself, it receives your original content, just like human visitors. The optimization is additive; the worst case is that some AI traffic gets your unoptimized (but still functional) pages.

How quickly do changes take effect?

Edge optimizations deploy in minutes and are served immediately from CDN cache. However, LLMs update their knowledge bases on their own schedules, typically days to weeks. The edge optimization ensures your content is ready when they crawl; it doesn't control when they crawl.

Can I see what optimizations are being served?

Yes. The LLM Optimizer dashboard shows exactly what optimizations are deployed to each page, with preview capabilities to see the AI-optimized version before and after changes.

Getting started with Optimize at Edge

If you're using Salespeak's LLM Optimizer, Optimize at Edge is built into the platform. The setup process is straightforward:

  1. Connect your CDN: Cloudflare, Vercel, or other supported platforms
  2. Run analysis: LLM Optimizer scans your pages for optimization opportunities
  3. Review suggestions: See recommended FAQs and content improvements
  4. Deploy at edge: One-click deployment pushes optimizations to the CDN
  5. Monitor results: Track LLM visibility improvements over time

Faros AI completed their integration in under 30 minutes and saw results immediately. The technical barrier that usually blocks LLM optimization (CMS changes, engineering cycles, platform modifications) simply doesn't exist with edge deployment.

The bottom line

LLM visibility requires optimization. Optimization traditionally requires CMS changes. CMS changes require time, coordination, and engineering resources.

Optimize at Edge breaks that chain. By applying optimizations at the CDN layer, you can improve your AI search visibility in minutes without touching your origin content, without disrupting your publishing workflows, and without waiting for engineering cycles.

In the race for LLM visibility, speed matters. The companies that can iterate quickly on their AI optimization outpace competitors stuck in traditional publishing timelines. Edge optimization makes that speed possible.

Your pages stay the same for humans and search engines. But for the AI agents increasingly shaping buyer research, you're serving content designed to be cited.